Content Synchronization via Audio Fingerprinting
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Solution Overview
Problem
Current technologies lack an efficient method for easy integration and synchronization of alternate content with primary content, particularly in audio and video media, failing to provide seamless user experiences through mash-ups or content enhancements.
Innovation Solution
A system utilizing audio fingerprinting and semantic classification to discover and recommend alternate content from a user's library, allowing for context-sensitive mixing and replacement, with automated recommendations and user feedback mechanisms to enhance content playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual content replacement and synchronization methods are used, then content integration is possible, but the process becomes complex and time-consuming
Solution Approach 1:
The system automatically performs content synchronization and replacement by analyzing audio fingerprints and semantic meanings of content segments. The processor autonomously identifies matching alternate content, determines synchronization points, and executes replacements without requiring manual configuration or parameter specification by users.
Solution Approach 2:
The system pre-processes content by generating audio fingerprints and semantic classifications during ingestion. This preliminary analysis enables rapid automated matching and synchronization during playback without real-time processing delays, resolving the contradiction between ease of use and processing complexity.
2Productivity
If automated content synchronization is implemented, then user engagement improves, but processing requirements and system complexity increase
Solution Approach 1:
The patent replaces manual content curation and synchronization operations with automated audio fingerprinting and semantic analysis systems. The processor uses acoustic feature extraction and meaning-based matching algorithms to automatically identify and synchronize alternate content, eliminating the need for manual parameter specification while maintaining high user engagement.
3Manufacturing precision
If context-sensitive content replacement is performed, then content fidelity improves, but the need for explicit parameter specification increases complexity
Solution Approach 1:
The system automatically determines synchronization precision parameters by analyzing audio fingerprints and semantic classifications of content segments. The processor self-configures timing, duration, and replacement parameters based on the intrinsic properties of the audio content being processed, achieving high synchronization precision without requiring users to specify explicit parameters.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.